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(1) Presentation(s)

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Jeu. 09/10/2014 13:45 Bat 11-RDC

Séminaire
KOUMAKIS Nikolaos (University of Rome "La Sapienza")
Active Soft Matter Studies: Model Hydrodynamic Synchronization and Particle Delivery with Bacteria

(Matière Molle & Verres)


Sommaire:

Active matter, matter with self-propelling constituents, has recently sparked the interest of the soft matter scientific community. Here we examine two aspects of active matter, hydrodynamic synchronization and rectification of random motion. Hydrodynamic synchronization provides a general mechanism for the spontaneous emergence of coherent beating states in independently driven mesoscopic oscillators, such as cilia and flagella. We demonstrate that driving colloidal particles in rotating energy landscapes, experimentally by using holographic optical tweezers, results in a strong tendency towards synchronization, favoring states where all beads rotate in phase. The resulting dynamics can be described in terms of activated jumps with transition rates that are strongly affected by hydrodynamics leading to an increased probability and lifetime of the synchronous states. Exploiting motile micro-organisms for the transport of colloidal cargoes is a fascinating strategy to extract work from self-propelled entities. Here we experimentally show that properly designed micro-structures can define accumulation areas where bacteria spontaneously transport. The mechanism is solely stochastic in nature and results from the rectifying action of an asymmetric energy landscape over the fluctuating forces arising from collisions with swimming bacteria. Besides the significance to technological applications, our experiments pose some important questions regarding the structure of stationary probability distributions in non-equilibrium systems. To address some of these issues, we have employed simulations of particles with varying classes of time-correlated noise over asymmetric barriers. We find that the details of applied noises may significantly alter the steady state probability distributions, which may be predicted by defining a non-equilibrium temperature.


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